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Junior Computer Vision Jobs in Pittsburgh, PA (NOW HIRING)

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Machine Learning Engineer III

Pittsburgh, PA · On-site

$111K - $133K/yr

... junior engineers and data scientists, providing guidance on machine learning techniques ... TensorFlow, PyTorch, or Scikit-learn. • Expertise in NLP, computer vision, or other specialized ...

Cmu

AI Engineer - Mission Innovation Lab

Pittsburgh, PA · On-site

... computer vision, timeseries forecasting, and other predictive analytics. You will collaborate ... Work closely with senior ML engineers, software developers, and government customers; mentor junior ...

Waabi

Research Scientist, World Models

Pittsburgh, PA · On-site +1

$155K - $269K/yr

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

Waabi

Research Scientist, World Models

Pittsburgh, PA · On-site +1

$155K - $269K/yr

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

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All JobsComputer Vision JobsJunior Computer Vision JobsJunior Computer Vision Jobs in Pittsburgh, PA

Junior Computer Vision information

See Pittsburgh, PA salary details

$23.3K

$86.4K

$133.5K

How much do junior computer vision jobs pay per year?

As of Aug 26, 2026, the average yearly pay for junior computer vision in Pittsburgh, PA is $86,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $84,500.00 per year, depending on experience, location, and employer.

What is a junior computer vision?

Junior Computer Vision Engineers are entry-level professionals who work on developing and implementing algorithms that allow computers to interpret and process visual information from the world, such as images and videos. They typically assist in building models for tasks like object detection, image classification, and facial recognition. These engineers often work under the guidance of senior team members, helping with data preprocessing, model training, and performance evaluation. The role requires a foundation in programming, mathematics, and machine learning, as well as familiarity with libraries like OpenCV or TensorFlow.

What are the key skills and qualifications needed to thrive as a junior computer vision?

To thrive as a Junior Computer Vision Engineer, you need a solid background in mathematics, programming (especially Python or C++), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), OpenCV, and experience working with image processing libraries are commonly required. Strong problem-solving abilities, attention to detail, and the ability to communicate complex concepts clearly are valuable soft skills. These competencies are crucial for developing accurate computer vision models and collaborating effectively within multidisciplinary engineering teams.

What are some common challenges faced by junior computer vision engineers in their first year on the job?

Junior Computer Vision engineers often encounter challenges such as bridging the gap between academic knowledge and real-world application, dealing with large and noisy datasets, and optimizing models for performance and accuracy. They may also need to quickly learn new frameworks or libraries and adapt to the fast-paced development cycles typical in tech environments. Collaboration with data scientists, software engineers, and product teams is essential, so developing strong communication skills and the ability to work in interdisciplinary teams is key to success.

What is the difference between Junior Computer Vision vs Junior Machine Learning Engineer?

AspectJunior Computer VisionJunior Machine Learning Engineer
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of image processingBachelor's in CS, Data Science, or related; understanding of algorithms and data modeling
Work EnvironmentResearch labs, tech companies, AI startups focusing on image/video analysisTech firms, startups, or research centers working on predictive models and data pipelines
Employer & Industry UsageUsed in industries like robotics, surveillance, autonomous vehiclesApplied across finance, healthcare, e-commerce, and tech sectors

Junior Computer Vision roles focus on developing algorithms for image and video analysis, often requiring knowledge of computer vision libraries. Junior Machine Learning Engineers work on building predictive models across various data types. While both roles require programming skills and foundational knowledge of algorithms, their focus areas differ, with computer vision emphasizing visual data and machine learning covering broader data applications.

What are the most commonly searched types of Computer Vision jobs in Pittsburgh, PA?

The most popular types of Computer Vision jobs in Pittsburgh, PA are:

What are popular job titles related to Junior Computer Vision jobs in Pittsburgh, PA?

For Junior Computer Vision jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Junior Computer Vision jobs in Pittsburgh, PA look for?

The top searched job categories for Junior Computer Vision jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Junior Computer Vision jobs?

Cities near Pittsburgh, PA with the most Junior Computer Vision job openings:

Junior Computer Vision jobs near you
Infographic showing various Junior Computer Vision job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $86,379 per year, or $41.5 per hour.

Senior Software Engineer - Scalable Machine Learning

Latitude AI

Pittsburgh, PA • On-site

$118K - $156K/yr

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Latitude AI develops automated driving technologies, including L3, for Ford vehicles at scale. The Senior Software Engineer for the Scalable ML team will design and implement cloud services for data management and workflow orchestration, while also mentoring junior engineers and collaborating with cross-functional teams.
Responsibilities:
• Design, and implement state-of-the-art cloud services for data ingest, workflow orchestration, and distributed training at scale
• Develop solutions to generate, manage, and process large amounts of multi-sensor training data for machine learning
• Drive advanced MLOps practices, including model artifact management, experiment tracking, and automated model deployment and testing strategies
• Collaborate closely with cross-functional teams, perception experts, and roboticists to integrate ML pipelines and ensure the delivery of high-quality, production-ready software
• Mentor junior engineers and provide technical guidance to elevate the team's software development standards
Qualifications:
Required:
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
• Strong track record of successfully delivering complex software projects from conception to production
• Proven expertise in developing and optimizing machine learning data pipelines, data generation, and distributed model training
• Experience designing, building, and operating large-scale distributed systems and cloud infrastructure
• Strong proficiency in Python and/or C++ for developing high-performance, production-quality software
Preferred:
• Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field
• Hands-on experience with distributed machine learning frameworks and tools such as Ray, PyTorch, Dagster, LakeFS, or PyArrow
• Experience with multi-sensor data fusion and processing techniques relevant to autonomous driving applications
• Familiarity with safety-critical software development principles in automotive or robotics domains
• Deep understanding of machine learning concepts, computer vision use cases, and the challenges of L2/L3 autonomy
Company:
Latitude AI is a wholly owned subsidiary of Ford Motor Company developing automated driving technologies. Founded in 2022, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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